Modelling of Static Liquefaction of Partially Saturated Non-Cohesive Soils

被引:7
|
作者
Swidzinski, Waldemar [1 ]
Smyczynski, Marcin [1 ]
机构
[1] Polish Acad Sci, Dept Geomech, Inst Hydroengn, Ul Koscierska 7, PL-80328 Gdansk, Poland
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 04期
关键词
incremental equations; non-cohesive soil; partial saturation; liquefaction; UNDRAINED SHEAR-STRENGTH; FLUID COMPRESSIBILITY; UNSATURATED SAND; LOOSE SAND; RESISTANCE; BEHAVIOR; PRESSURE;
D O I
10.3390/app12042076
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Static soil liquefaction is widely known to be a serious danger to the stability of structures. The phenomena governing pore water generation, which leads to liquefaction in fully saturated soils, are already quite well described. However, much less is known of these phenomena occurring in partially saturated porous media, although this, too, is an important issue in geotechnics. This study presents the application of a semi-empirical model to predict the response of partially saturated soils under undrained conditions. The model proposed is based on an incremental equation describing the pre-failure undrained response of partially saturated non-cohesive soils during monotonic shearing in a standard triaxial test. Improved differential equations taking into account pore fluid compressibility were implemented together with empirical coefficients describing soil skeleton compressibility during the unloading phase. Model coefficients were determined in triaxial compression tests. The influence of the saturation level represented by Skempton's parameter B on the full spectrum of predicted stress paths was shown. For the analyzed saturation range, the maximum stress deviator normalized by initial mean effective stress varied from 0.38 to 1.67 for B values between 0.93 and 0.29, respectively. Model predictions were confronted with the results of triaxial tests for two types of non-cohesive soils (quartz medium sand and copper ore post-flotation industrial tailings). Good agreement between experimental data and theoretical predictions was achieved.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Investigations on the interaction relationships for piles under combined loading in cohesive and non-cohesive soils
    Thieken, Klaus
    Achmus, Martin
    GEOTECHNIK, 2012, 35 (04) : 217 - 228
  • [22] Physical modelling of pressure flushing for desilting of non-cohesive sediment
    Fathi-Moghadam, Manoochehr
    Emamgholizadeh, Samad
    Bina, Mahmoud
    Ghomeshi, Mehdi
    JOURNAL OF HYDRAULIC RESEARCH, 2010, 48 (04) : 509 - 514
  • [23] An Energetic Interpretation of Liquefaction Laboratory Tests on Partially Saturated Soils
    Mele, L.
    Lirer, S.
    Flora, A.
    JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2022, 148 (10)
  • [24] Prediction Models for Minimum and Maximum Dry Density of Non-Cohesive Soils
    Sulewska, Maria J.
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2010, 19 (04): : 797 - 804
  • [25] A developed capillary tube model for suffossion susceptibility of non-cohesive soils
    Ali Maroof
    Ahmad Mahboubi
    Eric Vincens
    Mojtaba Hassani
    Bulletin of Engineering Geology and the Environment, 2024, 83
  • [26] Numerical Modelling of Liquefaction Tests of Partially Saturated Sands in CSSLB
    Viand, Seyed Mohsen Seyedi
    Eseller-Bayat, E. E.
    ADVANCES IN LABORATORY TESTING AND MODELLING OF SOILS AND SHALES (ATMSS), 2017, : 501 - 508
  • [27] A developed capillary tube model for suffossion susceptibility of non-cohesive soils
    Maroof, Ali
    Mahboubi, Ahmad
    Vincens, Eric
    Hassani, Mojtaba
    BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2024, 83 (01)
  • [28] Discussion of 'Experimental identification of mobile particles in suffusible non-cohesive soils'
    Wang, Yuan
    Dallo, Yousif A. H.
    EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING, 2012, 16 (10) : 1278 - 1280
  • [29] Local scouring around perforated bridge abutments for non-cohesive soils
    Sina Ghanbarynamin
    Amir Reza Zarrati
    Mojtaba Karimaei Tabarestani
    Innovative Infrastructure Solutions, 2023, 8
  • [30] Prediction of Resilient Modulus Value of Cohesive and Non-Cohesive Soils Using Artificial Neural Network
    Gluchowski, Andrzej
    MATERIALS, 2024, 17 (21)